code: def set_bokeh_circular_ticks_labels(ax, hist, labels):
      """Place ticks and ticklabels on Bokeh's circular histogram."""
      ticks = np.linspace(-np.pi, np.pi, len(labels), endpoint=False)
      ax.annular_wedge(
          x=0,
          y=0,
          inner_radius=0,
          outer_radius=np.max(hist) * 1.1,
          start_angle=ticks,
          end_angle=ticks,
          line_color="grey",
      )
  
      radii_circles = np.linspace(0, np.max(hist) * 1.1, 4)
      ax.circle(
          0, 0, radius=radii_circles, fill_color=None, line_color="grey"
      )
  
      offset = np.max(hist * 1.05) * 0.15
      ticks_labels_pos_1 = np.max(hist * 1.05)
      ticks_labels_pos_2 = ticks_labels_pos_1 * np.sqrt(2) / 2
  
      ax.text(
          [
              ticks_labels_pos_1 + offset,
              ticks_labels_pos_2 + offset,
              0,
              -ticks_labels_pos_2 - offset,
              -ticks_labels_pos_1 - offset,
              -ticks_labels_pos_2 - offset,
              0,
              ticks_labels_pos_2 + offset,
          ],
          [
              0,
              ticks_labels_pos_2 + offset / 2,
              ticks_labels_pos_1 + offset,
              ticks_labels_pos_2 + offset / 2,
              0,
              -ticks_labels_pos_2 - offset,
              -ticks_labels_pos_1 - offset,
              -ticks_labels_pos_2 - offset,
          ],
          text=labels,
          text_align="center",
      )
  
      return ax
  
imports: import importlib
  import warnings
  from typing import Any, Dict
  import matplotlib
  import numpy
  import packaging
  from matplotlib.colors import to_hex
  from scipy.stats import mode, rankdata
  from scipy.interpolate import CubicSpline
  from ..rcparams import rcParams
  from ..stats.density_utils import kde
  from ..stats import hdi
label_desc: Use image node_id 16 for calling a global function with example usage: set_bokeh_circular_ticks_labels(ax, hist, labels) and returns: ax